Evidence map›Paper›PMID 35433753›Full record

ArticleFrontiers in medicine2022

Improved Precision-Cut Liver Slice Cultures for Testing Drug-Induced Liver Fibrosis.

Liza Dewyse, Vincent De Smet, Stefaan Verhulst, Nathalie Eysackers, Rastislav Kunda, Nouredin Messaoudi, Hendrik Reynaert, Leo A van Grunsven

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. When Liver Slices Meet Single-cell Technology.Cellular and molecular gastroenterology and hepatology · 2026
    Article
  2. Article
  3. Dressed in Collagen: 2D and 3D Cardiac Fibrosis Models.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Precision-Cut Liver Slices as anbioRxiv : the preprint server for biology · 2023
    Article
  11. Review
  12. Review
  13. In Vivo and In Vitro Models to Study Liver Fibrosis: Mechanisms and Limitations.Cellular and molecular gastroenterology and hepatology · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Liza DewyseDepartment of Basic Biomedical Sciences, Liver Cell Biology Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Vincent De SmetDepartment of Basic Biomedical Sciences, Liver Cell Biology Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Stefaan VerhulstDepartment of Basic Biomedical Sciences, Liver Cell Biology Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Nathalie EysackersDepartment of Basic Biomedical Sciences, Liver Cell Biology Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Rastislav KundaDepartment of Surgery, Universitair Ziekenhuis Brussel, Brussels, Belgium.
Nouredin MessaoudiDepartment of Surgery, Universitair Ziekenhuis Brussel, Brussels, Belgium.
Hendrik ReynaertDepartment of Basic Biomedical Sciences, Liver Cell Biology Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Leo A van GrunsvenDepartment of Basic Biomedical Sciences, Liver Cell Biology Research Group, Vrije Universiteit Brussel, Brussels, Belgium.
Universitair Ziekenhuis Brussel · BEVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

DILIhepatic stellatehumanin vitromousePCLSVPA

Identifiers

PMID35433753
PMCPMC9007724
OpenAlexW4220690813

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.